cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 hep-ph - 高能物理现象学 math.CO - 组合数学 math.OC - 优化与控制 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 q-fin.PM - 投资组合管理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review
• [cs.AI]An Autonomous Free Airspace En-route Controller using Deep Reinforcement Learning Techniques
• [cs.AI]Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints
• [cs.AI]Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps
• [cs.AI]On Symbolically Encoding the Behavior of Random Forests
• [cs.AI]Strategies for Using Proximal Policy Optimization in Mobile Puzzle Games
• [cs.AI]Temporal-Logic-Based Reward Shaping for Continuing Learning Tasks
• [cs.CL]Bayesian multilingual topic model for zero-shot cross-lingual topic identification
• [cs.CL]Exploration and Discovery of the COVID-19 Literature through Semantic Visualization
• [cs.CL]Generating Informative Dialogue Responses with Keywords-Guided Networks
• [cs.CL]Improving Event Detection using Contextual Word and Sentence Embeddings
• [cs.CL]Language-agnostic BERT Sentence Embedding
• [cs.CL]On-The-Fly Information Retrieval Augmentation for Language Models
• [cs.CL]Playing with Words at the National Library of Sweden — Making a Swedish BERT
• [cs.CL]Reading Comprehension in Czech via Machine Translation and Cross-lingual Transfer
• [cs.CL]TICO-19: the Translation Initiative for Covid-19
• [cs.CR]A New Theoretical Framework of Pyramid Markov Processes for Blockchain Selfish Mining
• [cs.CR]Online publication of court records: circumventing the privacy-transparency trade-off
• [cs.CR]Privacy Threats Against Federated Matrix Factorization
• [cs.CV]A Competence-aware Curriculum for Visual Concepts Learning via Question Answering
• [cs.CV]A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification
• [cs.CV]Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images
• [cs.CV]Balanced Symmetric Cross Entropy for Large Scale Imbalanced and Noisy Data
• [cs.CV]Collaborative Learning for Faster StyleGAN Embedding
• [cs.CV]Complex Network Construction for Interactive Image Segmentation using Particle Competition and Cooperation: A New Approach
• [cs.CV]Deep Fence Estimation using Stereo Guidance and Adversarial Learning
• [cs.CV]Deep learning for scene recognition from visual data: a survey
• [cs.CV]Domain Adaptation without Source Data
• [cs.CV]Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN
• [cs.CV]End-to-end Interpretable Learning of Non-blind Image Deblurring
• [cs.CV]Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds
• [cs.CV]Explainable Deep One-Class Classification
• [cs.CV]Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations
• [cs.CV]Ground Truth Free Denoising by Optimal Transport
• [cs.CV]Image-based Vehicle Re-identification Model with Adaptive Attention Modules and Metadata Re-ranking
• [cs.CV]Improving auto-encoder novelty detection using channel attention and entropy minimization
• [cs.CV]Interactive Knowledge Distillation
• [cs.CV]Joint Frequency- and Image-Space Learning for Fourier Imaging
• [cs.CV]LOOC: Localize Overlapping Objects with Count Supervision
• [cs.CV]Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation
• [cs.CV]Learning Orientation Distributions for Object Pose Estimation
• [cs.CV]Learning to Prune in Training via Dynamic Channel Propagation
• [cs.CV]Multi-Label Image Recognition with Multi-Class Attentional Regions
• [cs.CV]Multiple Expert Brainstorming for Domain Adaptive Person Re-identification
• [cs.CV]Multiple Instance-Based Video Anomaly Detection using Deep Temporal Encoding-Decoding
• [cs.CV]ODE-CNN: Omnidirectional Depth Extension Networks
• [cs.CV]PointTrack++ for Effective Online Multi-Object Tracking and Segmentation
• [cs.CV]RSAC: Regularized Subspace Approximation Classifier for Lightweight Continuous Learning
• [cs.CV]Segment as Points for Efficient Online Multi-Object Tracking and Segmentation
• [cs.CV]Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification
• [cs.CV]Synergistic saliency and depth prediction for RGB-D saliency detection
• [cs.CV]Task-agnostic Temporally Consistent Facial Video Editing
• [cs.CV]Three-dimensional Human Tracking of a Mobile Robot by Fusion of Tracking Results of Two Cameras
• [cs.CV]Video Prediction via Example Guidance
• [cs.CV]Visual Question Answering as a Multi-Task Problem
• [cs.CV]Weakly Supervised Temporal Action Localization with Segment-Level Labels
• [cs.CY]Crowdfunding for Design Innovation: Prediction Model with Critical Factors
• [cs.CY]Regulation conform DLT-operable payment adapter based on trustless - justified trust combined generalized state channels
• [cs.CY]Users’ Concern for Privacy in Context-Aware Reasoning Systems
• [cs.CY]WattScale: A Data-driven Approach for Energy Efficiency Analytics of Buildings at Scale
• [cs.CY]WordPress on AWS: a Communication Framework
• [cs.DC]Creating a content delivery network for general science on the internet backbone using XCaches
• [cs.DC]GRANDPA: a Byzantine Finality Gadget
• [cs.DC]Mapping Datasets to Object Storage System
• [cs.DC]Towards an Intelligent Data Delivery Service
• [cs.DS]Finding Densest $k$-Connected Subgraphs
• [cs.DS]Minimizing Convex Functions with Integral Minimizers
• [cs.GT]Learning Utilities and Equilibria in Non-Truthful Auctions
• [cs.IR]Climbing the WOL: Training for Cheaper Inference
• [cs.IR]Disentangled Graph Collaborative Filtering
• [cs.IR]MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks
• [cs.IR]Text-based Emotion Aware Recommender
• [cs.IT]Improved bounds for noisy group testing with constant tests per item
• [cs.IT]Joint Beam Training and Data Transmission Design for Covert Millimeter-Wave Communication
• [cs.IT]Secure Beamforming and Ergodic Secrecy Rate Analysis for Amplify-and-Forward Relay Networks with Wireless Powered Jammer
• [cs.LG]Adaptive Braking for Mitigating Gradient Delay
• [cs.LG]Adaptive Graph Encoder for Attributed Graph Embedding
• [cs.LG]CacheNet: A Model Caching Framework for Deep Learning Inference on the Edge
• [cs.LG]Confidence-Aware Learning for Deep Neural Networks
• [cs.LG]Continuously Indexed Domain Adaptation
• [cs.LG]Deep interpretability for GWAS
• [cs.LG]Descending through a Crowded Valley — Benchmarking Deep Learning Optimizers
• [cs.LG]Differentiable Causal Discovery from Interventional Data
• [cs.LG]Dueling Deep Q-Network for Unsupervised Inter-frame Eye Movement Correction in Optical Coherence Tomography Volumes
• [cs.LG]DynNet: Physics-based neural architecture design for linear and nonlinear structural response modeling and prediction
• [cs.LG]Expected Eligibility Traces
• [cs.LG]Gaussian Process Regression with Local Explanation
• [cs.LG]Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning
• [cs.LG]Hedging using reinforcement learning: Contextual $k$-Armed Bandit versus $Q$-learning
• [cs.LG]Improved Preterm Prediction Based on Optimized Synthetic Sampling of EHG Signal
• [cs.LG]In Search of Lost Domain Generalization
• [cs.LG]Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring
• [cs.LG]Interpretable Sequence Classification Via Prototype Trajectory
• [cs.LG]Learning Neural Networks with Competing Physics Objectives: An Application in Quantum Mechanics
• [cs.LG]MPLP: Learning a Message Passing Learning Protocol
• [cs.LG]Mathematical Perspective of Machine Learning
• [cs.LG]Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach
• [cs.LG]Multi-Agent Low-Dimensional Linear Bandits
• [cs.LG]Neumann networks: differential programming for supervised learning with missing values
• [cs.LG]On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation
• [cs.LG]On the Similarity between the Laplace and Neural Tangent Kernels
• [cs.LG]Online learning in MDPs with linear function approximation and bandit feedback
• [cs.LG]Persistent Neurons
• [cs.LG]PsychFM: Predicting your next gamble
• [cs.LG]Scaling Graph Neural Networks with Approximate PageRank
• [cs.LG]Self-Supervised GAN Compression
• [cs.LG]Self-supervised Neural Architecture Search
• [cs.LG]Team voyTECH: User Activity Modeling with Boosting Trees
• [cs.LG]The Global Landscape of Neural Networks: An Overview
• [cs.LG]Towards Robust Deep Learning with Ensemble Networks and Noisy Layers
• [cs.LO]Active learning of timed automata with unobservable resets
• [cs.LO]Logical Separability of Incomplete Data under Ontologies
• [cs.NE]Learn Faster and Forget Slower via Fast and Stable Task Adaptation
• [cs.NI]An Edge Computing-based Photo Crowdsourcing Framework for Real-time 3D Reconstruction
• [cs.RO]A decentralized framework for simultaneous calibration, localization and mapping with multiple LiDARs
• [cs.RO]AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking Lot
• [cs.RO]First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion
• [cs.RO]LOL: Lidar-Only Odometry and Localization in 3D Point Cloud Maps
• [cs.RO]Swoosh! Rattle! Thump! — Actions that Sound
• [cs.RO]The Review Unmanned Surface Vehicle Path Planning: Based on Multi-modality Constraint
• [cs.SE]Ensemble Regression Models for Software Development Effort Estimation: A Comparative Study
• [cs.SI]Mapping Flows in Bipartite Networks
• [cs.SI]Overall Evaluations on Benefits of Influence When Disturbed by Rivals
• [econ.GN]From Fear to Hate: How the Covid-19 Pandemic Sparks Racial Animus in the United States
• [eess.AS]Pretrained Semantic Speech Embeddings for End-to-End Spoken Language Understanding via Cross-Modal Teacher-Student Learning
• [eess.IV]Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset
• [eess.IV]HDR-GAN: HDR Image Reconstruction from Multi-Exposed LDR Images with Large Motions
• [eess.IV]Noise2Filter: fast, self-supervised learning and real-time reconstruction for 3D Computed Tomography
• [eess.SP]Stochastic Variational Bayesian Inference for a Nonlinear Forward Model
• [hep-ph]Variational Autoencoders for Anomalous Jet Tagging
• [math.CO]Almost Affinely Disjoint Subspaces
• [math.CO]New Classes of Quantum Codes Associated with Surface Maps
• [math.OC]Local recovery bounds for prior support constrained Compressed Sensing
• [math.OC]Multi-agent Planning for thermalling gliders using multi level graph-search
• [math.OC]Variance reduction for Riemannian non-convex optimization with batch size adaptation
• [math.ST]Least Squares Estimator for Vasicek Model Driven by Sub-fractional Brownian Processes from Discrete Observations
• [math.ST]Monotonicity preservation properties of kernel regression estimators
• [math.ST]On Second order correctness of Bootstrap in Logistic Regression
• [math.ST]The Price of Competition: Effect Size Heterogeneity Matters in High Dimensions
• [physics.soc-ph]Networks with Growth and Preferential Attachment: Modeling and Applications
• [q-bio.PE]Lack of evidence for a substantial rate of templated mutagenesis in B cell diversification
• [q-fin.PM]A fully data-driven approach to minimizing CVaR for portfolio of assets via SGLD with discontinuous updating
• [stat.AP]Causal Mediation Analysis for Sparse and Irregular Longitudinal Data
• [stat.CO]Transformations in Semi-Parametric Bayesian Synthetic Likelihood
• [stat.ME]A New ECDF Two-Sample Test Statistic
• [stat.ME]A method to find an efficient and robust sampling strategy under model uncertainty
• [stat.ME]BAGEL: A Bayesian Graphical Model for Inferring Drug Effect Longitudinally on Depression in People with HIV
• [stat.ME]Developing a predictive signature for two trial endpoints using the cross-validated risk scores method
• [stat.ME]Epidemiology of exposure to mixtures: we cant be casual about causality when using or testing methods
• [stat.ME]New Non-parametric Tests for Multivariate Paired Data
• [stat.ME]Non-parametric ordinal regression under a monotonicity constraint
• [stat.ME]Unified statistical inference for a novel nonlinear dynamic functional/longitudinal data model
• [stat.ME]When is best subset selection the “best”?
• [stat.ML]Decoder-free Robustness Disentanglement without (Additional) Supervision
• [stat.ML]Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain
• [stat.ML]Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks
• [stat.ML]Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees
• [stat.ML]Qualitative Analysis of Monte Carlo Dropout
·····································
• [cs.AI]A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review
Adam Bignold, Francisco Cruz, Matthew E. Taylor, Tim Brys, Richard Dazeley, Peter Vamplew, Cameron Foale
http://arxiv.org/abs/2007.01544v1
• [cs.AI]An Autonomous Free Airspace En-route Controller using Deep Reinforcement Learning Techniques
Joris Mollinga, Herke van Hoof
http://arxiv.org/abs/2007.01599v1
• [cs.AI]Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints
C. P. Andriotis, K. G. Papakonstantinou
http://arxiv.org/abs/2007.01380v1
• [cs.AI]Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps
Martin Stetter, Elmar W. Lang
http://arxiv.org/abs/2007.01647v1
• [cs.AI]On Symbolically Encoding the Behavior of Random Forests
Arthur Choi, Andy Shih, Anchal Goyanka, Adnan Darwiche
http://arxiv.org/abs/2007.01493v1
• [cs.AI]Strategies for Using Proximal Policy Optimization in Mobile Puzzle Games
Jeppe Theiss Kristensen, Paolo Burelli
http://arxiv.org/abs/2007.01542v1
• [cs.AI]Temporal-Logic-Based Reward Shaping for Continuing Learning Tasks
Yuqian Jiang, Sudarshanan Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, Peter Stone
http://arxiv.org/abs/2007.01498v1
• [cs.CL]Bayesian multilingual topic model for zero-shot cross-lingual topic identification
Santosh Kesiraju, Sangeet Sagar, Ondřej Glembek, Lukáš Burget, Suryakanth V Gangashetty
http://arxiv.org/abs/2007.01359v1
• [cs.CL]Exploration and Discovery of the COVID-19 Literature through Semantic Visualization
Jingxuan Tu, Marc Verhagen, Brent Cochran, James Pustejovsky
http://arxiv.org/abs/2007.01800v1
• [cs.CL]Generating Informative Dialogue Responses with Keywords-Guided Networks
Heng-Da Xu, Xian-Ling Mao, Zewen Chi, Jing-Jing Zhu, Fanshu Sun, Heyan Huang
http://arxiv.org/abs/2007.01652v1
• [cs.CL]Improving Event Detection using Contextual Word and Sentence Embeddings
Mariano Maisonnave, Fernando Delbianco, Fernando Tohmé, Ana Maguitman, Evangelos Milios
http://arxiv.org/abs/2007.01379v1
• [cs.CL]Language-agnostic BERT Sentence Embedding
Fangxiaoyu Feng, Yinfei Yang, Daniel Cer, Naveen Arivazhagan, Wei Wang
http://arxiv.org/abs/2007.01852v1
• [cs.CL]On-The-Fly Information Retrieval Augmentation for Language Models
Hai Wang, David McAllester
http://arxiv.org/abs/2007.01528v1
• [cs.CL]Playing with Words at the National Library of Sweden — Making a Swedish BERT
Martin Malmsten, Love Börjeson, Chris Haffenden
http://arxiv.org/abs/2007.01658v1
• [cs.CL]Reading Comprehension in Czech via Machine Translation and Cross-lingual Transfer
Kateřina Macková, Milan Straka
http://arxiv.org/abs/2007.01667v1
• [cs.CL]TICO-19: the Translation Initiative for Covid-19
Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federman, Dmitriy Genzel, Francisco Guzmán, Junjie Hu, Macduff Hughes, Philipp Koehn, Rosie Lazar, Will Lewis, Graham Neubig, Mengmeng Niu, Alp Öktem, Eric Paquin, Grace Tang, Sylwia Tur
http://arxiv.org/abs/2007.01788v1
• [cs.CR]A New Theoretical Framework of Pyramid Markov Processes for Blockchain Selfish Mining
Quan-Lin Li, Yan-Xia Chang, Xiaole Wu, Guoqing Zhang
http://arxiv.org/abs/2007.01459v1
• [cs.CR]Online publication of court records: circumventing the privacy-transparency trade-off
Tristan Allard, Louis Béziaud, Sébastien Gambs
http://arxiv.org/abs/2007.01688v1
• [cs.CR]Privacy Threats Against Federated Matrix Factorization
Dashan Gao, Ben Tan, Ce Ju, Vincent W. Zheng, Qiang Yang
http://arxiv.org/abs/2007.01587v1
• [cs.CV]A Competence-aware Curriculum for Visual Concepts Learning via Question Answering
Qing Li, Siyuan Huang, Yining Hong, Song-Chun Zhu
http://arxiv.org/abs/2007.01499v1
• [cs.CV]A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification
Mengxi Jia, Yunpeng Zhai, Shijian Lu, Siwei Ma, Jian Zhang
http://arxiv.org/abs/2007.01504v1
• [cs.CV]Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images
Haomin Chen, Yirui Wang, Kang Zheng, Weijian Li, Chi-Tung Cheng, Adam P. Harrison, Jing Xiao, Gregory D. Hager, Le Lu, Chien-Hung Liao, Shun Miao
http://arxiv.org/abs/2007.01464v1
• [cs.CV]Balanced Symmetric Cross Entropy for Large Scale Imbalanced and Noisy Data
Feifei Huang, Jie Li, Xuelin Zhu
http://arxiv.org/abs/2007.01618v1
• [cs.CV]Collaborative Learning for Faster StyleGAN Embedding
Shanyan Guan, Ying Tai, Bingbing Ni, Feida Zhu, Feiyue Huang, Xiaokang Yang
http://arxiv.org/abs/2007.01758v1
• [cs.CV]Complex Network Construction for Interactive Image Segmentation using Particle Competition and Cooperation: A New Approach
Jefferson Antonio Ribeiro Passerini, Fabricio Aparecido Breve
http://arxiv.org/abs/2007.01625v1
• [cs.CV]Deep Fence Estimation using Stereo Guidance and Adversarial Learning
Paritosh Mittal, Shankar M Venkatesan, Viswanath Veera, Aloknath De
http://arxiv.org/abs/2007.01724v1
• [cs.CV]Deep learning for scene recognition from visual data: a survey
Alina Matei, Andreea Glavan, Estefania Talavera
http://arxiv.org/abs/2007.01806v1
• [cs.CV]Domain Adaptation without Source Data
Youngeun Kim, Sungeun Hong, Donghyeon Cho, Hyoungseob Park, Priyadarshini Panda
http://arxiv.org/abs/2007.01524v1
• [cs.CV]Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN
Zhenwei He, Lei Zhang
http://arxiv.org/abs/2007.01571v1
• [cs.CV]End-to-end Interpretable Learning of Non-blind Image Deblurring
Thomas Eboli, Jian Sun, Jean Ponce
http://arxiv.org/abs/2007.01769v1
• [cs.CV]Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds
Swaroop Bhandary K, Nico Hochgeschwender, Paul Plöger, Frank Kirchner, Matias Valdenegro-Toro
http://arxiv.org/abs/2007.01787v1
• [cs.CV]Explainable Deep One-Class Classification
Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Müller
http://arxiv.org/abs/2007.01760v1
• [cs.CV]Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
http://arxiv.org/abs/2007.01496v1
• [cs.CV]Ground Truth Free Denoising by Optimal Transport
Sören Dittmer, Carola-Bibiane Schönlieb, Peter Maass
http://arxiv.org/abs/2007.01575v1
• [cs.CV]Image-based Vehicle Re-identification Model with Adaptive Attention Modules and Metadata Re-ranking
Quang Truong, Hy Dang, Zhankai Ye, Minh Nguyen, Bo Mei
http://arxiv.org/abs/2007.01818v1
• [cs.CV]Improving auto-encoder novelty detection using channel attention and entropy minimization
Dongyan Guo, Miao Tian, Ying Cui, Xiang Pan, Shengyong Chen
http://arxiv.org/abs/2007.01682v1
• [cs.CV]Interactive Knowledge Distillation
Shipeng Fu, Zhen Li, Jun Xu, Ming-Ming Cheng, Gwanggil Jeon, Xiaomin Yang
http://arxiv.org/abs/2007.01476v1
• [cs.CV]Joint Frequency- and Image-Space Learning for Fourier Imaging
Nalini M. Singh, Juan Eugenio Iglesias, Elfar Adalsteinsson, Adrian V. Dalca, Polina Golland
http://arxiv.org/abs/2007.01441v1
• [cs.CV]LOOC: Localize Overlapping Objects with Count Supervision
Issam H. Laradji, Rafael Pardinas, Pau Rodriguez, David Vazquez
http://arxiv.org/abs/2007.01837v1
• [cs.CV]Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation
Bin-Bin Gao, Xin-Xin Liu, Hong-Yu Zhou, Jianxin Wu, Xin Geng
http://arxiv.org/abs/2007.01771v1
• [cs.CV]Learning Orientation Distributions for Object Pose Estimation
Brian Okorn, Mengyun Xu, Martial Hebert, David Held
http://arxiv.org/abs/2007.01418v1
• [cs.CV]Learning to Prune in Training via Dynamic Channel Propagation
Shibo Shen, Rongpeng Li, Zhifeng Zhao, Honggang Zhang, Yugeng Zhou
http://arxiv.org/abs/2007.01486v1
• [cs.CV]Multi-Label Image Recognition with Multi-Class Attentional Regions
Bin-Bin Gao, Hong-Yu Zhou
http://arxiv.org/abs/2007.01755v1
• [cs.CV]Multiple Expert Brainstorming for Domain Adaptive Person Re-identification
Yunpeng Zhai, Qixiang Ye, Shijian Lu, Mengxi Jia, Rongrong Ji, Yonghong Tian
http://arxiv.org/abs/2007.01546v1
• [cs.CV]Multiple Instance-Based Video Anomaly Detection using Deep Temporal Encoding-Decoding
Ammar Mansoor Kamoona, Amirali Khodadadian Gosta, Alireza Bab-Hadiashar, Reza Hoseinnezhad
http://arxiv.org/abs/2007.01548v1
• [cs.CV]ODE-CNN: Omnidirectional Depth Extension Networks
Xinjing Cheng, Peng Wang, Yanqi Zhou, Chenye Guan, Ruigang Yang
http://arxiv.org/abs/2007.01475v1
• [cs.CV]PointTrack++ for Effective Online Multi-Object Tracking and Segmentation
Zhenbo Xu, Wei Zhang, Xiao Tan, Wei Yang, Xiangbo Su, Yuchen Yuan, Hongwu Zhang, Shilei Wen, Errui Ding, Liusheng Huang
http://arxiv.org/abs/2007.01549v1
• [cs.CV]RSAC: Regularized Subspace Approximation Classifier for Lightweight Continuous Learning
Chih-Hsing Ho, Shang-Ho, Tsai
http://arxiv.org/abs/2007.01480v1
• [cs.CV]Segment as Points for Efficient Online Multi-Object Tracking and Segmentation
Zhenbo Xu, Wei Zhang, Xiao Tan, Wei Yang, Huan Huang, Shilei Wen, Errui Ding, Liusheng Huang
http://arxiv.org/abs/2007.01550v1
• [cs.CV]Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification
Bin Wang, Bing Xue, Mengjie Zhang
http://arxiv.org/abs/2007.01556v1
• [cs.CV]Synergistic saliency and depth prediction for RGB-D saliency detection
Yue Wang, Yuke Li, James H Elder, Huchuan Lu, Runmin Wu
http://arxiv.org/abs/2007.01711v1
• [cs.CV]Task-agnostic Temporally Consistent Facial Video Editing
Meng Cao, Haozhi Huang, Hao Wang, Xuan Wang, Li Shen, Sheng Wang, Linchao Bao, Zhifeng Li, Jiebo Luo
http://arxiv.org/abs/2007.01466v1
• [cs.CV]Three-dimensional Human Tracking of a Mobile Robot by Fusion of Tracking Results of Two Cameras
Shinya Matsubara, Akihiko Honda, Yonghoon Ji, Kazunori Umeda
http://arxiv.org/abs/2007.01514v1
• [cs.CV]Video Prediction via Example Guidance
Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Trevor Darrell
http://arxiv.org/abs/2007.01738v1
• [cs.CV]Visual Question Answering as a Multi-Task Problem
Amelia Elizabeth Pollard, Jonathan L. Shapiro
http://arxiv.org/abs/2007.01780v1
• [cs.CV]Weakly Supervised Temporal Action Localization with Segment-Level Labels
Xinpeng Ding, Nannan Wang, Xinbo Gao, Jie Li, Xiaoyu Wang, Tongliang Liu
http://arxiv.org/abs/2007.01598v1
• [cs.CY]Crowdfunding for Design Innovation: Prediction Model with Critical Factors
Chaoyang Song, Jianxi Luo, Katja Hölttä-Otto, Warren Seering, Kevin Otto
http://arxiv.org/abs/2007.01404v1
• [cs.CY]Regulation conform DLT-operable payment adapter based on trustless - justified trust combined generalized state channels
Ricky Lamberty, Alexander Poddey
http://arxiv.org/abs/2007.01605v1
• [cs.CY]Users’ Concern for Privacy in Context-Aware Reasoning Systems
Matthias Forstmann, Alberto Giaretta, Jennifer Renoux
http://arxiv.org/abs/2007.01561v1
• [cs.CY]WattScale: A Data-driven Approach for Energy Efficiency Analytics of Buildings at Scale
Srinivasan Iyengar, Stephen Lee, David Irwin, Prashant Shenoy, Benjamin Weil
http://arxiv.org/abs/2007.01382v1
• [cs.CY]WordPress on AWS: a Communication Framework
Michael Soltys, Katharine Soltys
http://arxiv.org/abs/2007.01823v1
• [cs.DC]Creating a content delivery network for general science on the internet backbone using XCaches
Edgar Fajardo, Marian Zvada, Derek Weitzel, Mats Rynge, John Hicks, Mat Selmeci, Brian Lin, Pascal Paschos, Brian Bockelman, Igor Sfiligoi, Andrew Hanushevsky, Frank Würthwein
http://arxiv.org/abs/2007.01408v1
• [cs.DC]GRANDPA: a Byzantine Finality Gadget
Alistair Stewart, Eleftherios Kokoris-Kogia
http://arxiv.org/abs/2007.01560v1
• [cs.DC]Mapping Datasets to Object Storage System
Xiaowei, Chu, Jeff LeFevre, Aldrin Montana, Dana Robinson, Quincey Koziol, Peter Alvaro, Carlos Maltzahn
http://arxiv.org/abs/2007.01789v1
• [cs.DC]Towards an Intelligent Data Delivery Service
Wen Guan, Tadashi Maeno, Gancho Dimitrov, Brian Paul Bockelman, Torre Wenaus, Vakhtang Tsulaia, Nicolo Magini
http://arxiv.org/abs/2007.01791v1
• [cs.DS]Finding Densest $k$-Connected Subgraphs
Francesco Bonchi, David García-Soriano, Atsushi Miyauchi, Charalampos E. Tsourakakis
http://arxiv.org/abs/2007.01533v1
• [cs.DS]Minimizing Convex Functions with Integral Minimizers
Haotian Jiang
http://arxiv.org/abs/2007.01445v1
• [cs.GT]Learning Utilities and Equilibria in Non-Truthful Auctions
Hu Fu, Tao Lin
http://arxiv.org/abs/2007.01722v1
• [cs.IR]Climbing the WOL: Training for Cheaper Inference
Zichang Liu, Zhaozhuo Xu, Alan Ji, Jonathan Li, Beidi Chen, Anshumali Shrivastava
http://arxiv.org/abs/2007.01230v2
• [cs.IR]Disentangled Graph Collaborative Filtering
Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua
http://arxiv.org/abs/2007.01764v1
• [cs.IR]MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks
Yusi Zhang, Chuanjie Liu, Angen Luo, Hui Xue, Xuan Shan, Yuxiang Luo, Yiqian Xia, Yuanchi Yan, Haidong Wang
http://arxiv.org/abs/2007.01510v1
• [cs.IR]Text-based Emotion Aware Recommender
John Kalung Leung, Igor Griva, William G. Kennedy
http://arxiv.org/abs/2007.01455v1
• [cs.IT]Improved bounds for noisy group testing with constant tests per item
Oliver Gebhard, Oliver Johnson, Philipp Loick, Maurice Rolvien
http://arxiv.org/abs/2007.01376v1
• [cs.IT]Joint Beam Training and Data Transmission Design for Covert Millimeter-Wave Communication
Jiayu Zhang, Min Li, Shihao Yan, Chunshan Liu, Xihan Chen, Minjian Zhao, Philip Whiting
http://arxiv.org/abs/2007.01513v1
• [cs.IT]Secure Beamforming and Ergodic Secrecy Rate Analysis for Amplify-and-Forward Relay Networks with Wireless Powered Jammer
Omer Waqar, Hina Tabassum, Raviraj Adve
http://arxiv.org/abs/2007.01391v1
• [cs.LG]Adaptive Braking for Mitigating Gradient Delay
Abhinav Venigalla, Atli Kosson, Vitaliy Chiley, Urs Köster
http://arxiv.org/abs/2007.01397v1
• [cs.LG]Adaptive Graph Encoder for Attributed Graph Embedding
Ganqu Cui, Jie Zhou, Cheng Yang, Zhiyuan Liu
http://arxiv.org/abs/2007.01594v1
• [cs.LG]CacheNet: A Model Caching Framework for Deep Learning Inference on the Edge
Yihao Fang, Shervin Manzuri Shalmani, Rong Zheng
http://arxiv.org/abs/2007.01793v1
• [cs.LG]Confidence-Aware Learning for Deep Neural Networks
Jooyoung Moon, Jihyo Kim, Younghak Shin, Sangheum Hwang
http://arxiv.org/abs/2007.01458v1
• [cs.LG]Continuously Indexed Domain Adaptation
Hao Wang, Hao He, Dina Katabi
http://arxiv.org/abs/2007.01807v1
• [cs.LG]Deep interpretability for GWAS
Deepak Sharma, Audrey Durand, Marc-André Legault, Louis-Philippe Lemieux Perreault, Audrey Lemaçon, Marie-Pierre Dubé, Joelle Pineau
http://arxiv.org/abs/2007.01516v1
• [cs.LG]Descending through a Crowded Valley — Benchmarking Deep Learning Optimizers
Robin M. Schmidt, Frank Schneider, Philipp Hennig
http://arxiv.org/abs/2007.01547v1
• [cs.LG]Differentiable Causal Discovery from Interventional Data
Philippe Brouillard, Sébastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien, Alexandre Drouin
http://arxiv.org/abs/2007.01754v1
• [cs.LG]Dueling Deep Q-Network for Unsupervised Inter-frame Eye Movement Correction in Optical Coherence Tomography Volumes
Yasmeen M. George, Suman Sedai, Bhavna J. Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, Rahil Garnavi
http://arxiv.org/abs/2007.01522v1
• [cs.LG]DynNet: Physics-based neural architecture design for linear and nonlinear structural response modeling and prediction
Soheil Sadeghi Eshkevari, Martin Takáč, Shamim N. Pakzad, Majid Jahani
http://arxiv.org/abs/2007.01814v1
• [cs.LG]Expected Eligibility Traces
Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, David Silver, André Barreto, Diana Borsa
http://arxiv.org/abs/2007.01839v1
• [cs.LG]Gaussian Process Regression with Local Explanation
Yuya Yoshikawa, Tomoharu Iwata
http://arxiv.org/abs/2007.01669v1
• [cs.LG]Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning
Anis Elgabli, Jihong Park, Chaouki Ben Issaid, Mehdi Bennis
http://arxiv.org/abs/2007.01790v1
• [cs.LG]Hedging using reinforcement learning: Contextual $k$-Armed Bandit versus $Q$-learning
Loris Cannelli, Giuseppe Nuti, Marzio Sala, Oleg Szehr
http://arxiv.org/abs/2007.01623v1
• [cs.LG]Improved Preterm Prediction Based on Optimized Synthetic Sampling of EHG Signal
Jinshan Xu, Zhenqin Chen, Yanpei Lu, Xi Yang, Alain Pumir
http://arxiv.org/abs/2007.01447v1
• [cs.LG]In Search of Lost Domain Generalization
Ishaan Gulrajani, David Lopez-Paz
http://arxiv.org/abs/2007.01434v1
• [cs.LG]Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring
Zhihui Shao, Jianyi Yang, Shaolei Ren
http://arxiv.org/abs/2007.01472v1
• [cs.LG]Interpretable Sequence Classification Via Prototype Trajectory
Dat Hong, Stephen S. Baek, Tong Wang
http://arxiv.org/abs/2007.01777v1
• [cs.LG]Learning Neural Networks with Competing Physics Objectives: An Application in Quantum Mechanics
Jie Bu, Mohannad Elhamod, Christopher Singh, Matthew Redell, Wei-Cheng Lee, Anuj Karpatne
http://arxiv.org/abs/2007.01420v1
• [cs.LG]MPLP: Learning a Message Passing Learning Protocol
Ettore Randazzo, Eyvind Niklasson, Alexander Mordvintsev
http://arxiv.org/abs/2007.00970v2
• [cs.LG]Mathematical Perspective of Machine Learning
Yarema Boryshchak
http://arxiv.org/abs/2007.01503v1
• [cs.LG]Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach
M. Maruf, Anuj Karpatne
http://arxiv.org/abs/2007.01423v1
• [cs.LG]Multi-Agent Low-Dimensional Linear Bandits
Ronshee Chawla, Abishek Sankararaman, Sanjay Shakkottai
http://arxiv.org/abs/2007.01442v1
• [cs.LG]Neumann networks: differential programming for supervised learning with missing values
Marine Le Morvan, Julie Josse, Thomas Moreau, Erwan Scornet, Gaël Varoquaux
http://arxiv.org/abs/2007.01627v1
• [cs.LG]On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation
Jianing Li, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
http://arxiv.org/abs/2007.01488v1
• [cs.LG]On the Similarity between the Laplace and Neural Tangent Kernels
Amnon Geifman, Abhay Yadav, Yoni Kasten, Meirav Galun, David Jacobs, Ronen Basri
http://arxiv.org/abs/2007.01580v1
• [cs.LG]Online learning in MDPs with linear function approximation and bandit feedback
Gergely Neu, Julia Olkhovskaya
http://arxiv.org/abs/2007.01612v1
• [cs.LG]Persistent Neurons
Yimeng Min
http://arxiv.org/abs/2007.01419v1
• [cs.LG]PsychFM: Predicting your next gamble
Prakash Rajan, Krishna P. Miyapuram
http://arxiv.org/abs/2007.01833v1
• [cs.LG]Scaling Graph Neural Networks with Approximate PageRank
Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann
http://arxiv.org/abs/2007.01570v1
• [cs.LG]Self-Supervised GAN Compression
Chong Yu, Jeff Pool
http://arxiv.org/abs/2007.01491v1
• [cs.LG]Self-supervised Neural Architecture Search
Sapir Kaplan, Raja Giryes
http://arxiv.org/abs/2007.01500v1
• [cs.LG]Team voyTECH: User Activity Modeling with Boosting Trees
Immanuel Bayer, Anastasios Zouzias
http://arxiv.org/abs/2007.01620v1
• [cs.LG]The Global Landscape of Neural Networks: An Overview
Ruoyu Sun, Dawei Li, Shiyu Liang, Tian Ding, R Srikant
http://arxiv.org/abs/2007.01429v1
• [cs.LG]Towards Robust Deep Learning with Ensemble Networks and Noisy Layers
Yuting Liang, Reza Samavi
http://arxiv.org/abs/2007.01507v1
• [cs.LO]Active learning of timed automata with unobservable resets
Léo Henry, Nicolas Markey, Thierry Jéron
http://arxiv.org/abs/2007.01637v1
• [cs.LO]Logical Separability of Incomplete Data under Ontologies
Jean Christoph Jung, Carsten Lutz, Hadrien Pulcini, Frank Wolter
http://arxiv.org/abs/2007.01610v1
• [cs.NE]Learn Faster and Forget Slower via Fast and Stable Task Adaptation
Farshid Varno, Lucas May Petry, Lisa Di Jorio, Stan Matwin
http://arxiv.org/abs/2007.01388v1
• [cs.NI]An Edge Computing-based Photo Crowdsourcing Framework for Real-time 3D Reconstruction
Shuai Yu, Xu Chen, Shuai Wang, Lingjun Pu, Di Wu
http://arxiv.org/abs/2007.01562v1
• [cs.RO]A decentralized framework for simultaneous calibration, localization and mapping with multiple LiDARs
Jiarong Lin, Xiyuan Liu, Fu Zhang
http://arxiv.org/abs/2007.01483v1
• [cs.RO]AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking Lot
Tong Qin, Tongqing Chen, Yilun Chen, Qing Su
http://arxiv.org/abs/2007.01813v1
• [cs.RO]First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion
Alexander L. Mitchell, Martin Engelcke, Oiwi Parker Jones, David Surovik, Ioannis Havoutis, Ingmar Posner
http://arxiv.org/abs/2007.01520v1
• [cs.RO]LOL: Lidar-Only Odometry and Localization in 3D Point Cloud Maps
David Rozenberszki, Andras Majdik
http://arxiv.org/abs/2007.01595v1
• [cs.RO]Swoosh! Rattle! Thump! — Actions that Sound
Dhiraj Gandhi, Abhinav Gupta, Lerrel Pinto
http://arxiv.org/abs/2007.01851v1
• [cs.RO]The Review Unmanned Surface Vehicle Path Planning: Based on Multi-modality Constraint
Chunhui Zhou, Shangding Gu, Yuanqiao Wen, Zhe Du, Changshi Xiao, Liang Huang, Man Zhu
http://arxiv.org/abs/2007.01691v1
• [cs.SE]Ensemble Regression Models for Software Development Effort Estimation: A Comparative Study
Halcyon D. P. Carvalho, Marília N. C. A. Lima, Wylliams B. Santos, Roberta A. de A. Fagunde
http://arxiv.org/abs/2007.01719v1
• [cs.SI]Mapping Flows in Bipartite Networks
Christopher Blöcker, Martin Rosvall
http://arxiv.org/abs/2007.01666v1
• [cs.SI]Overall Evaluations on Benefits of Influence When Disturbed by Rivals
Jianxiong Guo, Yapu Zhang, Weili Wu
http://arxiv.org/abs/2007.01519v1
• [econ.GN]From Fear to Hate: How the Covid-19 Pandemic Sparks Racial Animus in the United States
Runjing Lu, Yanying Sheng
http://arxiv.org/abs/2007.01448v1
• [eess.AS]Pretrained Semantic Speech Embeddings for End-to-End Spoken Language Understanding via Cross-Modal Teacher-Student Learning
Pavel Denisov, Ngoc Thang Vu
http://arxiv.org/abs/2007.01836v1
• [eess.IV]Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset
Sören Dittmer, Tobias Kluth, Mads Thorstein Roar Henriksen, Peter Maass
http://arxiv.org/abs/2007.01593v1
• [eess.IV]HDR-GAN: HDR Image Reconstruction from Multi-Exposed LDR Images with Large Motions
Yuzhen Niu, Jianbin Wu, Wenxi Liu, Wenzhong Guo, Rynson W. H. Lau
http://arxiv.org/abs/2007.01628v1
• [eess.IV]Noise2Filter: fast, self-supervised learning and real-time reconstruction for 3D Computed Tomography
Marinus J. Lagerwerf, Allard A. Hendriksen, Jan-Willem Buurlage, K. Joost Batenburg
http://arxiv.org/abs/2007.01636v1
• [eess.SP]Stochastic Variational Bayesian Inference for a Nonlinear Forward Model
Michael A. Chappell, Martin S. Craig, Mark W. Woolrich
http://arxiv.org/abs/2007.01675v1
• [hep-ph]Variational Autoencoders for Anomalous Jet Tagging
Taoli Cheng, Jean-François Arguin, Julien Leissner-Martin, Jacinthe Pilette, Tobias Golling
http://arxiv.org/abs/2007.01850v1
• [math.CO]Almost Affinely Disjoint Subspaces
Hedongliang Liu, Nikita Polyanskii, Ilya Vorobyev, Antonia Wachter-Zeh
http://arxiv.org/abs/2007.01792v1
• [math.CO]New Classes of Quantum Codes Associated with Surface Maps
Debashis Bhowmik, Dipendu Maity, Bhanu Pratap Yadav, Ashish Kumar Upadhyay
http://arxiv.org/abs/2007.01684v1
• [math.OC]Local recovery bounds for prior support constrained Compressed Sensing
K. Z. Najiya, Munnu Sonkar, C. S. Sastry
http://arxiv.org/abs/2007.01082v1
• [math.OC]Multi-agent Planning for thermalling gliders using multi level graph-search
Muhammad Aneeq uz Zaman, Aamer Iqbal Bhatti
http://arxiv.org/abs/2007.01334v1
• [math.OC]Variance reduction for Riemannian non-convex optimization with batch size adaptation
Andi Han, Junbin Gao
http://arxiv.org/abs/2007.01494v1
• [math.ST]Least Squares Estimator for Vasicek Model Driven by Sub-fractional Brownian Processes from Discrete Observations
Cuiyun Zhang, Jingjun Guo, Aiqin Ma, Bo Peng
http://arxiv.org/abs/2007.01460v1
• [math.ST]Monotonicity preservation properties of kernel regression estimators
Iosif Pinelis
http://arxiv.org/abs/2007.01757v1
• [math.ST]On Second order correctness of Bootstrap in Logistic Regression
Debraj Das, Priyam Das
http://arxiv.org/abs/2007.01615v1
• [math.ST]The Price of Competition: Effect Size Heterogeneity Matters in High Dimensions
Hua Wang, Yachong Yang, Weijie J. Su
http://arxiv.org/abs/2007.00566v2
• [physics.soc-ph]Networks with Growth and Preferential Attachment: Modeling and Applications
Gabriel G. Piva, Fabiano L. Ribeiro, Angelica S. Mata
http://arxiv.org/abs/2007.01349v1
• [q-bio.PE]Lack of evidence for a substantial rate of templated mutagenesis in B cell diversification
Julia Fukuyama, Branden J Olson, Frederick A Matsen IV
http://arxiv.org/abs/2007.01340v1
• [q-fin.PM]A fully data-driven approach to minimizing CVaR for portfolio of assets via SGLD with discontinuous updating
Sotirios Sabanis, Ying Zhang
http://arxiv.org/abs/2007.01672v1
• [stat.AP]Causal Mediation Analysis for Sparse and Irregular Longitudinal Data
Shuxi Zeng, Stacy Rosenbaum, Elizabeth Archie, Susan Alberts, Fan Li
http://arxiv.org/abs/2007.01796v1
• [stat.CO]Transformations in Semi-Parametric Bayesian Synthetic Likelihood
Jacob W. Priddle, Christopher Drovandi
http://arxiv.org/abs/2007.01485v1
• [stat.ME]A New ECDF Two-Sample Test Statistic
Connor Dowd
http://arxiv.org/abs/2007.01360v1
• [stat.ME]A method to find an efficient and robust sampling strategy under model uncertainty
Edgar Bueno, Dan Hedlin
http://arxiv.org/abs/2007.01539v1
• [stat.ME]BAGEL: A Bayesian Graphical Model for Inferring Drug Effect Longitudinally on Depression in People with HIV
Yuliang Li, Yang Ni, Leah H. Rubin, Amanda B. Spence, Yanxun Xu
http://arxiv.org/abs/2007.01484v1
• [stat.ME]Developing a predictive signature for two trial endpoints using the cross-validated risk scores method
Svetlana Cherlin, James M. S. Wason
http://arxiv.org/abs/2007.01680v1
• [stat.ME]Epidemiology of exposure to mixtures: we cant be casual about causality when using or testing methods
Thomas F. Webster, Marc G. Weisskopf
http://arxiv.org/abs/2007.01370v1
• [stat.ME]New Non-parametric Tests for Multivariate Paired Data
Jingru Zhang, Hao Chen, Xiao-Hua Zhou
http://arxiv.org/abs/2007.01497v1
• [stat.ME]Non-parametric ordinal regression under a monotonicity constraint
Olli Saarela, Christian Rohrbeck, Elja Arjas
http://arxiv.org/abs/2007.01390v1
• [stat.ME]Unified statistical inference for a novel nonlinear dynamic functional/longitudinal data model
Lixia Hu, Tao Huang, Jinhong You
http://arxiv.org/abs/2007.01784v1
• [stat.ME]When is best subset selection the “best”?
Jianqing Fan, Yongyi Guo, Ziwei Zhu
http://arxiv.org/abs/2007.01478v1
• [stat.ML]Decoder-free Robustness Disentanglement without (Additional) Supervision
Yifei Wang, Dan Peng, Furui Liu, Zhenguo Li, Zhitang Chen, Jiansheng Yang
http://arxiv.org/abs/2007.01356v1
• [stat.ML]Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain
Takahiro Mimori, Keiko Sasada, Hirotaka Matsui, Issei Sato
http://arxiv.org/abs/2007.01659v1
• [stat.ML]Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks
Cong Fang, Jason D. Lee, Pengkun Yang, Tong Zhang
http://arxiv.org/abs/2007.01452v1
• [stat.ML]Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees
Muhammad Osama, Dave Zachariah, Petre Stoica
http://arxiv.org/abs/2007.01592v1
• [stat.ML]Qualitative Analysis of Monte Carlo Dropout
Ronald Seoh
http://arxiv.org/abs/2007.01720v1